LLM Comparison

GLM-5.2 vs DeepSeek V4 Flash Vision Exp: benchmark scores, pricing & comparison.

Side-by-side GLM-5.2 vs DeepSeek V4 Flash Vision Exp comparison across SWE-bench, GPQA, HLE, Terminal-Bench, coding agent scores, token pricing, context window, and AskClash RWT. Green marks the winner on each benchmark.

Rank #21 vs #23AskClash overall scores 54.9 vs 54.8.
Pricing $1.40/$4.40 vs $0.14/$0.28Input and output token prices per 1M tokens when published.
Open Weight vs APIZ.AI vs DeepSeek.

GLM-5.2 vs DeepSeek V4 Flash Vision Exp benchmark comparison

Green cells highlight the winning model for each metric. Scores are cached from the AskClash LLM leaderboard snapshot.

MetricGLM-5.2DeepSeek V4 Flash Vision Exp
Overall Score54.954.8
Leaderboard Rank#21#23
ACB58.6
RWT8.5
Coding Agent Index74.4
HLE54.7
GPQA91.2
IFEval73.3
SWE-Pro62.1
SWE-Atlas74.4
Terminal-Bench82.783.9
DeepSWE43.859.3
MCP Atlas76.8
Finance Agent49.7
Tau299.1
Input Price (per 1M tokens)$1.40$0.14
Output Price (per 1M tokens)$4.40$0.28
Context Window1M1M
Benchmarks Published123

GLM-5.2 vs DeepSeek V4 Flash Vision Exp head-to-head charts

GLM-5.2 leads 1 and DeepSeek V4 Flash Vision Exp leads 2 of 3 shared benchmarks. DeepSeek V4 Flash Vision Exp is cheaper on a defined 1M-input / 200K-output workload. Charts show only benchmarks both models publish.

GLM-5.2DeepSeek V4 Flash Vision Exp
Overall
54.9GLM-5.2
54.8DeepSeek V4 Flash Vision Exp
Terminal-Bench
82.7GLM-5.2
83.9DeepSeek V4 Flash Vision Exp
DeepSWE
43.8GLM-5.2
59.3DeepSeek V4 Flash Vision Exp
GLM-5.2
Input$1.40
Output$4.40
Workload$2.28
Context1M
DeepSeek V4 Flash Vision Exp
Input$0.14
Output$0.28
Workload$0.20
Context1M

Workload = published cost of 1M input + 200K output tokens. Open the live leaderboard for interactive compare charts.

More GLM-5.2 and DeepSeek V4 Flash Vision Exp comparisons

Explore how GLM-5.2 and DeepSeek V4 Flash Vision Exp stack up against other top-ranked LLMs.

How to read this comparison

Benchmark scores

Higher is better for all benchmark scores (SWE-bench, GPQA, HLE, Terminal-Bench, etc.). Green marks the model with the higher score.

Token pricing

Lower is better for input and output prices. Green marks the cheaper model per 1M tokens.

Coverage matters

Models with fewer disclosed benchmark cells may have inflated percentile scores. Check the benchmark cell count for context.

This comparison page is generated from the AskClash LLM leaderboard cache. Open the live leaderboard for real-time scores and interactive filtering.